[1]} has five convolution layers, three pooling layers, and two fully-connected layers. It was ILSVRC 2012 winner [2]} with a DCNN that outperformed other handcrafted features resulting in a top-5 error rate of 16.4%. This research extracted the features of convolution layers and trained the fully connected layers for Devanagari alphabets identification.
